We conduct experiments on the In-shop Cloths Retrieval Benchmask of the Deepfashion dataset [1]}, which contains 52,712 images of people with varying poses and appearances. We adopt the data division in [2]}, using 10,1966 image pairs as training dataset and 8750 image pairs as test dataset to ensure that the same person does not appear in the training dataset and the test dataset, and crop the image with a resolution of \(256 \times 256\)  to remove the excess background, leaving a \(256 \times 176\)  area in the center.
